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The Apache™ Hadoop® framework provides parallel
processing and distributed data storage capabilities that data
analytics applications can utilize to process massive sets of raw
data. These Big Data applications typically run as a set of
MapReduce jobs to take advantage of Hadoop’s ease of service
deployment and large-scale parallelism. Yet, Hadoop has not
been adapted for multilevel secure (MLS) environments where
data of different security classifications co-exist. To solve this problem, we have used the Security Enhanced Linux
(SELinux) Linux kernel extension in a prototype cross-domain
Hadoop on which multiple instances of Hadoop applications run
at different sensitivity levels. Their accesses to Hadoop resources
are constrained by the underlying MLS policy enforcement
mechanism. To solve this problem, we have used the Security Enhanced Linux
(SELinux) Linux kernel extension in a prototype cross-domain
Hadoop on which multiple instances of Hadoop applications run
at different sensitivity levels. Their accesses to Hadoop resources
are constrained by the underlying MLS policy enforcement
mechanism. To solve this problem, we have used the Security Enhanced Linux
(SELinux) Linux kernel extension in a prototype cross-domain
Hadoop on which multiple instances of Hadoop applications run
at different sensitivity levels. Their accesses to Hadoop resources
are constrained by the underlying MLS policy enforcement
mechanism. To solve this problem, we have used the Security Enhanced Linux
(SELinux) Linux kernel extension in a prototype cross-domain
Hadoop on which multiple instances of Hadoop applications run
at different sensitivity levels. Their accesses to Hadoop resources
are constrained by the underlying MLS policy enforcement
mechanism. A benefit of our prototype is its extension of the Hadoop Distributed File System to provide a cross-domain read-down capability for Hadoop applications without requiring complex Hadoop server components to be trustworthy.

Network-based monitoring and intrusion detection has grown into an essential component of enterprise security management. Monitoring potentially malicious activities across a set of networks classified at different security ...

Network-based monitoring and intrusion detection has grown into an essential component of enterprise security management. Monitoring potentially malicious activities across a set of networks classified at different security ...

The new generations of mobile devices have high processing power and storage, but they lag behind in terms of software systems for big data storage and processing. Hadoop is a scalable platform that provides distributed ...